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Potential of satellite and reanalysis evaporation datasets for hydrological modelling under various model calibration strategies 期刊论文
, 2020, 卷号: 143
作者:  Dembélé M.;  Ceperley N.;  Zwart S.J.;  Salvadore E.;  Mariethoz G.;  Schaefli B.
收藏  |  浏览/下载：41/0  |  提交时间：2020/07/28
Bond (masonry)  Digital storage  Evaporation  Geodetic satellites  Hydrology  Land use  Multivariable systems  Pixels  Soil moisture  Soil surveys  Stream flow  Accounting strategy  Evaporation products  Hydrological modelling  Multivariate calibration  Process representation  Remotely sensed data  Spatio-temporal prediction  Terrestrial water storage  Climate models  calibration  data set  evaporation  hydrological modeling  satellite data  soil moisture  streamflow  Volta Basin  
Multivariate data assimilation of GRACE, SMOS, SMAP measurements for improved regional soil moisture and groundwater storage estimates 期刊论文
, 2020, 卷号: 135
作者:  Tangdamrongsub N.;  Han S.-C.;  Yeo I.-Y.;  Dong J.;  Steele-Dunne S.C.;  Willgoose G.;  Walker J.P.
收藏  |  浏览/下载：30/0  |  提交时间：2020/07/28
Cables  Catchments  Climate models  Digital storage  Groundwater  Groundwater resources  Remote sensing  Soil moisture  Surface measurement  Water conservation  EnKS  GRACE  Multivariate data  SMAP  SMOS  Soil surveys  data assimilation  GRACE  groundwater  multivariate analysis  SMOS  soil moisture  water level  water storage  Australia  Goulburn Basin  Victoria [Australia]  
Integration of principal component analysis and artificial neural network to modeling productive capacity of eucalypt stands from biophysical attributes 期刊论文
, 2020, 卷号: 460
作者:  Dolácio C.J.F.;  Oliveira R.S.;  Nakajima N.Y.;  Tavares Júnior I.D.S.;  Rocha J.E.C.D.;  Ebling Â.A.;  Gama M.A.P.
收藏  |  浏览/下载：38/0  |  提交时间：2020/07/28
Biophysics  Data mining  Forecasting  Forestry  Multivariant analysis  Neural networks  Brazilian Amazon  Forest growth  Multi variate analysis  Potential productivity  Univariate analysis  Principal component analysis  artificial neural network  biophysics  clonal organism  data mining  forestry production  multivariate analysis  plantation forestry  precision  principal component analysis  productivity  stand structure  Analysis  Capacity  Data  Forecasts  Forestry  Neural Networks  Podocarpus Spicatus  Variables  Amazonia  Brazil  Eucalyptus  
Design and evaluation of SVR, MARS and M5Tree models for 1, 2 and 3-day lead time forecasting of river flow data in a semiarid mountainous catchment 期刊论文
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 2018, 卷号: 32, 期号: 9
作者:  Yin, Zhenliang;  Feng, Qi;  Wen, Xiaohu;  Deo, Ravinesh C.;  Yang, Linshan;  Si, Jianhua;  He, Zhibin
收藏  |  浏览/下载：77/0  |  提交时间：2019/11/08
River flow forecasting  Support vector regression  Multivariate adaptive regression spline  M5Tree model  Data-driven model